Robotics

• Build environments, evaluations, agent systems, and post-training methods with an external robotics team
• Train and evaluate agents using reinforcement learning, world modeling, imitation learning, planning, and multimodal perception
• Use feedback from simulation and deployed robots
• Test behavior under partial observations, long horizons, changing environments, and hardware and safety constraints
• Build aligned simulation and real-world evaluations for long-horizon embodied tasks
• Combine demonstrations, interventions, offline data, and online feedback into training loops
• Train embodied agents to recover from partial failures, changing scenes, and uncertain states
• Own simulation and real-world environments for training, evaluation, and sim-to-real comparison
• Own long-horizon agents that perceive, plan, act, remember, and recover under hardware constraints
• Develop rewards and evaluations for task success, safety, adaptation, and continual improvement
• Work directly with customers, users, or research partners while maintaining a substantive research agenda

Explore Applied Research – Robotics at Prime Intellect. Review requirements and application details.